Secure Every Model You Build, Buy, or Borrow

Scan proprietary, open-source, and third-party models for vulnerabilities, and discover, assess, and govern AI coding agent skills.

A black background with a red spot in the middle.

Chosen by Enterprises Securing Their AI Supply Chains

Models Are the New Software Supply Chain

Third-Party Models Are Opaque

Vendors won’t share training data, fine-tuning methods, or safety guardrails.

Open-Source Models Carry Hidden Risks

Backdoored weights, unsafe behaviors, and unchecked dependencies are common.

Agent Skills Introduce New Supply Chain Risks

AI coding agents can access skills that introduce additional capabilities and security risks. Without visibility into these skills, organizations may unknowingly allow risky or unauthorized capabilities into their development environments.

Know Exactly What You’re Deploying

Our AI Supply Chain Security module gives you complete security visibility into any model — no training data required.

Key Capabilities of AI Model Supply Chain Security

Verify every model before it enters your environment and assess the risks introduced by skills available to AI coding agents.

AI Risk Management

Identify and assess risk from malicious model changes.

A black and blue background with a lock and some icons.

AI Governance

Enforce governance controls on model behavior.

A computer screen with a bunch of buttons on it.

AI Bill of Materials (AI BoM)

Unpack model files, metadata, and supporting components.

A file folder with icons coming out of it.

AI Model Genealogy

Track model versions, lineage, and provenance over time.

A diagram of a menu with the words config modified and weights changed.

AI Security Posture Management (AI SPM)

Continuously measure and report AI security posture.

A computer screen with a bunch of buttons on it.

"As enterprises embrace AI, security can’t be an afterthought. HiddenLayer makes it possible for CISOs to lead with confidence and keep innovation secure."

Tomas Maldonado

CISO, NFL

"Securing AI requires protection across the entire lifecycle. HiddenLayer delivers end-to-end visibility and defense so CISOs can safeguard AI at every stage."

Jerry Davis

Founder, Gryphon X

"Strong governance is critical as AI becomes embedded across enterprises. HiddenLayer provides the comprehensive framework needed to manage risk and align AI adoption with visibility, compliance, and accountability."

Gary McAlum

Prior CISO, AIG

"The integrity of AI systems is as critical as the integrity of our software supply chains. If we can't secure the building blocks of AI, we risk exposing enterprises to new classes of attack. HiddenLayer is tackling this problem at its root, delivering the protections the world needs most."

Thomas Pace

Co-Founder & CEO, NetRise

"AI introduces risks that traditional cybersecurity tools weren't built to handle. HiddenLayer's comprehensive platform consolidates what CISOs need to manage and defend the critical AI tools that enable the business."

Timothy Youngblood

CISO in Residence, Astrix Security

"AI security demands purpose-built technology and trusted partners to counter AI attack vectors. HiddenLayer arms CISOs with a comprehensive platform to identify and manage AI-specific risks, enabling organizations to innovate with confidence and at the speed of modern business."

Josh Lemos

CISO, GitLab

"One of the elements that impresses me about HiddenLayer is the elegance of their technology. Their non-invasive AIDR solution provides robust, real-time protection against adversarial attacks without ever needing to access a customer's sensitive data or proprietary models. This is a game-changer for enterprises in regulated industries like finance and healthcare, as well as federal agencies, where data privacy is paramount."

Doug Merritt Chairman

CEO & President at Aviatrix and prior CEO at Splunk

Resources

Learn from the Industry’s AI Security Experts

Research, guidance, and frameworks from the team shaping AI security standards.

insights

OpenSSF Model Signing for Safer AI Supply Chains

The future of artificial intelligence depends not just on powerful models but also on our ability to trust them. As AI models become the backbone of countless applications, from healthcare diagnostics to financial systems, their integrity and security have never been more important. Yet the current AI ecosystem faces a fundamental challenge: How does one prove that the model to be deployed is exactly what the creator intended? Without layered verification mechanisms, organizations risk deploying compromised, tampered, or maliciously modified models, which could lead to potentially catastrophic consequences.

report and guide

AI Threat Landscape Report July-September Quarterly Update

webinar

HiddenLayer Webinar: 2024 AI Threat Landscape Report

Ready to Secure Your AI Supply Chain?

Scan every model before it touches production.

A black and green box sitting on top of a table.